| Data-driven model predictive control using random forests for building energy optimization and climate control F Smarra, A Jain, T De Rubeis, D Ambrosini, A D’Innocenzo, ... Applied Energy, 2018 | 346 | 2018 |
| Learning and control using Gaussian processes A Jain, TX Nghiem, M Morari, R Mangharam International Conference on Cyber-Physical Systems (ICCPS), 2018 | 111 | 2018 |
| On the design and tuning of linear model predictive control for wind turbines A Jain, G Schildbach, L Fagiano, M Morari Renewable Energy, 2015 | 98 | 2015 |
| Data-driven model predictive control with regression trees—an application to building energy management A Jain, F Smarra, M Behl, R Mangharam ACM Transactions on Cyber-Physical Systems, 2018 | 77 | 2018 |
| Data-driven switching modeling for MPC using regression trees and random forests F Smarra, GD Di Girolamo, V De Iuliis, A Jain, R Mangharam, ... Nonlinear Analysis: Hybrid Systems, 2020 | 61 | 2020 |
| Data Predictive Control for building energy management A Jain, M Behl, R Mangharam International Conference on Systems for Energy-Efficient Built Environments …, 2016 | 53 | 2016 |
| Modeling and control of a hybrid electric vehicle with an electrically assisted turbocharger A Jain, T Nueesch, C Naegele, PM Lassus, CH Onder IEEE Transactions on Vehicular Technology, 2016 | 53 | 2016 |
| Data Predictive Control using regression trees and ensemble learning A Jain, F Smarra, R Mangharam Conference on Decision and Control (CDC), 2017 | 50 | 2017 |
| NeurOpt: Neural network based optimization for building energy management and climate control A Jain, F Smarra, E Reticcioli, A D'Innocenzo, M Morari Learning for Dynamics and Control (L4DC), 2020 | 47 | 2020 |
| Data-driven modeling, control and tools for cyber-physical energy systems M Behl, A Jain, R Mangharam International Conference on Cyber-Physical Systems (ICCPS), 2016 | 47 | 2016 |
| BayesRace: Learning to race autonomously using prior experience A Jain, M O'Kelly, P Chaudhari, M Morari Conference on Robot Learning (CoRL), 2020 | 45 | 2020 |
| Computing the racing line using Bayesian optimization A Jain, M Morari Conference on Decision and Control (CDC), 2020 | 41 | 2020 |
| Data-driven switched affine modeling for model predictive control F Smarra, A Jain, R Mangharam, A D’Innocenzo IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), 2018 | 40 | 2018 |
| TunerCar: A superoptimization toolchain for autonomous racing M O’Kelly, H Zheng, A Jain, J Auckley, K Luong, R Mangharam International Conference on Robotics and Automation (ICRA), 2020 | 38 | 2020 |
| Digital twins for efficient modeling and control of buildings: An integrated solution with SCADA systems A Jain, D Nong, TX Nghiem, R Mangharam Building Performance Analysis Conference and SimBuild, 2018 | 24 | 2018 |
| Data Predictive Control for peak power reduction A Jain, R Mangharam, M Behl International Conference on Systems for Energy-Efficient Built Environments …, 2016 | 19 | 2016 |
| A meta-learning approach to predicting performance and data requirements A Jain, G Swaminathan, P Favaro, H Yang, A Ravichandran, ... Computer Vision and Pattern Recognition (CVPR), 2023 | 10 | 2023 |
| Diffusion Soup: Model Merging for Text-to-Image Diffusion Models B Biggs, A Seshadri, Y Zou, A Jain, A Golatkar, Y Xie, A Achille, ... European Conference on Computer Vision (ECCV), 2024 | 8 | 2024 |
| Technical Report: TunerCar: A Superoptimization Toolchain for Autonomous Racing M O’Kelly, H Zheng, J Auckley, A Jain, K Luong, R Mangharam University of Pennsylvania, Tech. Rep. UPenn-ESE-09-15, 2019 | 7 | 2019 |
| Optimal workplacement for robotic friction stir welding task A Jain, J Qin, G Abba International Symposium on Robotics and Mechatronics (ISRM), 2013 | 4 | 2013 |
Rahul MangharamProfessor of Electrical Engineering and Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
